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Introduction to Nonsmooth Optimization : Theory, Practice and Software
Published by Springer International Publishing, 2014
ISBN 10: 3319081136 ISBN 13: 9783319081137
Language: English
£ 76.51
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
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Introduction to Nonsmooth Optimization : Theory, Practice and Software
Published by Springer International Publishing, 2014
ISBN 10: 3319081136 ISBN 13: 9783319081137
Language: English
£ 76.51
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Add to basketCondition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher.
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Partitional Clustering via Nonsmooth Optimization: Clustering via Optimization (Unsupervised and Semi-Supervised Learning)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Partitional Clustering via Nonsmooth Optimization: Clustering via Optimization (Unsupervised and Semi-Supervised Learning)
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Partitional Clustering via Nonsmooth Optimization : Clustering via Optimization
Published by Springer International Publishing, 2021
ISBN 10: 3030378284 ISBN 13: 9783030378288
Language: English
£ 95.39
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their implementation, evaluation, and applications. The book gives a comprehensive and detailed description of optimization approaches for solving clustering problems; the authors' emphasis on clustering algorithms is based on deterministic methods of optimization. The book also includes results on real-time clustering algorithms based on optimization techniques, addresses implementation issues of these clustering algorithms, and discusses new challenges arising from big data. The book is ideal for anyone teaching or learning clustering algorithms. It provides an accessible introduction to the field and it is well suited for practitioners already familiar with the basics of optimization.
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Numerical Nonsmooth Optimization : State of the Art Algorithms
Published by Springer International Publishing, 2020
ISBN 10: 3030349098 ISBN 13: 9783030349097
Language: English
£ 103.95
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Introduction to Nonsmooth Optimization: Theory, Practice and Software
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 116.13
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Condition: New. pp. 392.
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Partitional Clustering via Nonsmooth Optimization
Published by Springer International Publishing, Springer Nature Switzerland Feb 2021, 2021
ISBN 10: 3030378284 ISBN 13: 9783030378288
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
£ 95.39
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Add to basketTaschenbuch. Condition: Neu. Neuware -This book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their implementation, evaluation, and applications. The book gives a comprehensive and detailed description of optimization approaches for solving clustering problems; the authors' emphasis on clustering algorithms is based on deterministic methods of optimization. The book also includes results on real-time clustering algorithms based on optimization techniques, addresses implementation issues of these clustering algorithms, and discusses new challenges arising from big data. The book is ideal for anyone teaching or learning clustering algorithms. It provides an accessible introduction to the ¿eld and it is well suited for practitioners already familiar with the basics of optimization.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 356 pp. Englisch.
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Partitional Clustering via Nonsmooth Optimization: Clustering via Optimization (Unsupervised and Semi-Supervised Learning)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 127.26
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Paperback. Condition: Brand New. 356 pages. 9.25x6.10x0.94 inches. In Stock.
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Partitional Clustering via Nonsmooth Optimization (Hardcover)
Published by Springer International Publishing AG, Cham, 2024
ISBN 10: 3031765117 ISBN 13: 9783031765117
Language: English
Hardcover. Condition: new. Hardcover. This updated book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their implementation, evaluation, and applications. The book gives a comprehensive and detailed description of optimization approaches for solving clustering problems; the authors' emphasis on clustering algorithms is based on deterministic methods of optimization. The book also includes results on real-time clustering algorithms based on optimization techniques, addresses implementation issues of these clustering algorithms, and discusses new challenges arising from very large data and data with noise and outliers. The book is ideal for anyone teaching or learning clustering algorithms. It provides an accessible introduction to the eld and it is well suited for practitioners already familiar with the basics of optimization. This updated book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their implementation, evaluation, and applications. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Partitional Clustering via Nonsmooth Optimization (Hardcover)
Published by Springer International Publishing AG, Cham, 2024
ISBN 10: 3031765117 ISBN 13: 9783031765117
Language: English
£ 115.64
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Add to basketHardcover. Condition: new. Hardcover. This updated book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their implementation, evaluation, and applications. The book gives a comprehensive and detailed description of optimization approaches for solving clustering problems; the authors' emphasis on clustering algorithms is based on deterministic methods of optimization. The book also includes results on real-time clustering algorithms based on optimization techniques, addresses implementation issues of these clustering algorithms, and discusses new challenges arising from very large data and data with noise and outliers. The book is ideal for anyone teaching or learning clustering algorithms. It provides an accessible introduction to the eld and it is well suited for practitioners already familiar with the basics of optimization. This updated book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their implementation, evaluation, and applications. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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£ 120.76
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Partitional Clustering via Nonsmooth Optimization : Clustering via Optimization
Published by Springer Nature Switzerland, Springer Nature Switzerland Dez 2024, 2024
ISBN 10: 3031765117 ISBN 13: 9783031765117
Language: English
£ 133.54
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This updated book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their implementation, evaluation, and applications. The book gives a comprehensive and detailed description of optimization approaches for solving clustering problems; the authors' emphasis on clustering algorithms is based on deterministic methods of optimization. The book also includes results on real-time clustering algorithms based on optimization techniques, addresses implementation issues of these clustering algorithms, and discusses new challengesarising from very large data and data with noise and outliers. The book is ideal for anyone teaching or learning clustering algorithms. It provides an accessible introduction to the field and it is well suited for practitioners already familiar with the basics of optimization.
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£ 88.46
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£ 128.28
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£ 144.35
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Paperback. Condition: New. New. book.
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Introduction to Nonsmooth Optimization : Theory, Practice and Software
Published by Springer International Publishing, Springer Nature Switzerland, 2016
ISBN 10: 331934627X ISBN 13: 9783319346274
Language: English
£ 143.08
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is the first easy-to-read text on nonsmooth optimization (NSO, not necessarily di erentiable optimization). Solving these kinds of problems plays a critical role in many industrial applications and real-world modeling systems, for example in the context of image denoising, optimal control, neural network training, data mining, economics and computational chemistry and physics. The book covers both the theory and the numerical methods used in NSO and provide an overview of di erent problems arising in the field. It is organized into three parts:1. convex and nonconvex analysis and the theory of NSO;2. test problems and practical applications;3. a guide to NSO software.The book is ideal for anyone teaching or attending NSO courses. As an accessible introduction to the field, it is also well suited as an independent learning guide for practitioners already familiar with the basics of optimization.
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Introduction to Nonsmooth Optimization : Theory, Practice and Software
Published by Springer International Publishing, Springer Nature Switzerland, 2014
ISBN 10: 3319081136 ISBN 13: 9783319081137
Language: English
£ 143.08
Convert currency£ 12.11 shipping from Germany to United KingdomQuantity: 1 available
Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is the first easy-to-read text on nonsmooth optimization (NSO, not necessarily di erentiable optimization). Solving these kinds of problems plays a critical role in many industrial applications and real-world modeling systems, for example in the context of image denoising, optimal control, neural network training, data mining, economics and computational chemistry and physics. The book covers both the theory and the numerical methods used in NSO and provide an overview of di erent problems arising in the field. It is organized into three parts:1. convex and nonconvex analysis and the theory of NSO;2. test problems and practical applications;3. a guide to NSO software.The book is ideal for anyone teaching or attending NSO courses. As an accessible introduction to the field, it is also well suited as an independent learning guide for practitioners already familiar with the basics of optimization.
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Numerical Nonsmooth Optimization: State of the Art Algorithms
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 154.13
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Numerical Nonsmooth Optimization: State of the Art Algorithms
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 154.13
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£ 153.47
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Partitional Clustering via Nonsmooth Optimization
Published by Springer Nature Switzerland, Springer Nature Switzerland Dez 2024, 2024
ISBN 10: 3031765117 ISBN 13: 9783031765117
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
£ 133.54
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Add to basketBuch. Condition: Neu. Neuware -This updated book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their implementation, evaluation, and applications. The book gives a comprehensive and detailed description of optimization approaches for solving clustering problems; the authors' emphasis on clustering algorithms is based on deterministic methods of optimization. The book also includes results on real-time clustering algorithms based on optimization techniques, addresses implementation issues of these clustering algorithms, and discusses new challenges arising from very large data and data with noise and outliers. The book is ideal for anyone teaching or learning clustering algorithms. It provides an accessible introduction to the ¿eld and it is well suited for practitioners already familiar with the basics of optimization.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 416 pp. Englisch.
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£ 165.21
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